Technology Delivery Lead

1 month ago

Singapore This is an IT support group Full time

Job Description:
Strategic Leadership:
Develop and implement the strategic vision for the data analytics platform, ensuring alignment with organizational goals and objectives.
Lead the design, development, and maintenance of a robust cloud data platform architecture, leveraging Databricks Lakehouse, AI, and ML technologies.
Oversee the creation and promulgation of blueprints, roadmaps, and reference architectures for the data analytics infrastructure and services.
Program and Project Management:
Manage a portfolio of data analytics projects, ensuring they are delivered on time, within scope, and budget.
Coordinate cross-functional teams, including business leads, system owners, architects, engineers, and external vendors to deliver high-impact solutions.
Implement robust project management practices, including risk management, stakeholder engagement, and performance tracking.
Technical Expertise:
Provide expert guidance on data warehouse solutions, advanced analytics, data modeling, and the implementation of Databricks Lakehouse.
Enhance cloud capabilities by developing and implementing cloud application patterns, automating cloud services using infrastructure as code (IaC) tools such as CloudFormation and Terraform.
Oversee the integration of diverse data sources, ensuring data quality and consistency, and facilitate the transformation of data into actionable insights through AI and ML models.
Architect and implement scalable and resilient data pipelines, ensuring efficient data ingestion, processing, and storage in a cloud environment.
Utilize modern cloud application architectures, including microservices, containerization, and serverless computing, to optimize performance and cost-efficiency.
Compliance and Best Practices:
Ensure compliance with industry standards, regulatory requirements, and best practices in cloud security, data governance, and access control.
Monitor and audit cloud resources to ensure they adhere to security guardrails and best practices.
Develop and enforce policies and procedures for data management, ensuring the integrity and confidentiality of sensitive data.
Innovation and Continuous Improvement:
Stay abreast of emerging technologies and trends in data analytics, cloud computing, AI, and ML.
Drive innovation by researching and proposing new tools, methodologies, and frameworks to enhance data analytics capabilities.
Foster a culture of continuous improvement, encouraging team members to develop new skills and approaches to problem-solving.
Requirements:
Degree/Master’s in Computer Science, Information Technology, Computer Engineering, or equivalent.
Minimum of 10 years of experience in data analytics, with at least 5 years in a leadership role managing large-scale data analytics projects.
Proven experience with AWS cloud services, including setting up and managing cloud infrastructure, and deep expertise in Databricks Lakehouse and AI/ML technologies.
Technical Skills:
Proficiency in databases (e.g., Oracle, MS SQL, MySQL, Teradata, Databricks), data repositories (e.g., data lakes, data marts).
Experience in data modeling, data transformation, and statistical computing (e.g., R, Python).
Deep understanding of machine learning (MLOps), data visualization (e.g., Power BI, Tableau), and event-driven architecture.
Expertise in cloud-native technologies and services, including microservices, serverless computing, and containerization (e.g., Docker, Kubernetes).
Strong knowledge of cloud data platforms, including architecture design, data integration, and the implementation of scalable data pipelines.
Leadership and Management Skills:
Strong leadership abilities with a track record of managing high-performing teams and complex projects.
Excellent program and project management skills, including the ability to prioritize tasks, manage resources, and meet deadlines.
Strong interpersonal and communication skills, with the ability to engage and influence stakeholders at all levels.
Certifications:
AWS Cloud Practitioner or AWS Architect certification.
Databricks Certified Data Engineer Associate or Professional certification is a plus.
Project Management Professional (PMP) or similar certification is highly desirable.
Additional Preferred Qualifications:
Familiarity with healthcare informatics and data governance in the healthcare sector.
Experience interacting with analytics stakeholders, including clinicians, policy makers, and economists.
Work Environment:
Dynamic and collaborative work environment with opportunities to work on cutting-edge projects that impact public health and administration and opportunities for professional growth and development within a leading healthcare IT organization.
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